Electronic Health Records (EHR)/Electronic Patient Records (EPR)/Electronic Medical Records (EMR) provide the basis for e-Health services. Since information in these records (containing patient healthcare information) need to be shared amongst multiple healthcare providers and healthcare professionals, privacy issues of EHR have been a major inhibitor in the implementation of EHR/EMR/EPR systems. This paper presents EHR privacy requirements in the context of two major e-Health frameworks, namely HealthLink in Australia and HIPAA in USA. The paper concludes with a discussion of some evolving Web-based solutions.
One aim of an integrated e-Health system is to improve the quality of healthcare by providing transparent access to patient information. The current health information management environment has numerous systems with varying techniques for representing and managing patient data. The increasing mobility of patients results in patient information being spread across these systems. Presented in this paper is a conceptual architecture for the interoperability of e-Health systems. This architecture uses multiple cooperating software agents that actively access, recognize, and associate the information in distributed, heterogeneous e-health systems. Using a layered ontology structure we show how ontology based multi-agent systems can be used to resolve discrepancies in terminology and/or structure. This involves a case study in a distributed Electronic Health Record (EHR) environment.
One aim of an integrated e-Health system is to improve the quality of healthcare by providing transparent access to patient information. The current health information management environment has numerous systems with varying techniques for representing and managing patient data. The increasing mobility of patients results in patient information being spread across these systems. Presented in this paper is a conceptual architecture for the interoperability of e-Health systems. This architecture uses multiple cooperating software agents that actively access, recognize, and associate the information in distributed, heterogeneous e-health systems. Using a layered ontology structure we show how ontology based multi-agent systems can be used to resolve discrepancies in terminology and/or structure. This involves a case study in a distributed Electronic Health Record (EHR) environment.
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